Chronic kidney disease and the ageing population

The role of PI3K/Akt signaling pathway in chronic kidney disease

Chronic kidney disease (CKD), including chronic glomerulonephritis, IgA nephropathy and diabetic nephropathy, are common chronic diseases characterized by structural damage and functional decline of the kidneys. The current treatment of CKD is symptom relief. Several studies have reported that the phosphatidylinositol 3 kinases (PI3K)/protein kinase B (Akt) signaling pathway is a pathway closely related to the pathological process of CKD. It can ameliorate kidney damage by inhibiting this signal pathway which is involved with inflammation, oxidative stress, cell apoptosis, epithelial mesenchymal transformation (EMT) and autophagy. This review highlights the role of activating or inhibiting the PI3K/Akt signaling pathway in CKD-induced inflammatory response, apoptosis, autophagy and EMT. We also summarize the latest evidence on treating CKD by targeting the PI3K/Akt pathway, discuss the shortcomings and deficiencies of PI3K/Akt research in the field of CKD, and identify potential challenges in developing these clinical therapeutic CKD strategies, and provide appropriate solutions.

Unmasking the cannabis paradox: in-hospital outcomes of cannabis users admitted with acute myocardial infarction over a 20-year period in the United States

Introduction

Cannabis is increasingly becoming a socially acceptable substance, with multiple countries having legalised its consumption. Epidemiological studies have demonstrated an association between cannabis use and an increased risk of developing coronary artery disease. However, there is a lack of studies about the influence of cannabis consumption on the outcomes following acute myocardial infarction (AMI).

Material and methods

We retrospectively analysed hospitalised patients with a primary diagnosis of AMI from the 2001 to 2020 National Inpatient Sample (NIS). Pearson's χ2 tests were applied to categorical variables, and t-tests for continuous variables. We conducted a 1:1 propensity score matching (PSM). Multivariate regression models were deployed on the PSM sample to estimate the differences in several events and all-cause mortality.

Results

A total of 9,930,007 AMI patients were studied, of whom 117,641 (1.2%) reported cannabis use. Cannabis users had lower odds of atrial fibrillation (aOR = 0.902, p < 0.01), ventricular fibrillation (aOR = 0.919, p < 0.01), cardiogenic shock (aOR = 0.730, p < 0.01), acute ischaemic stroke (aOR = 0.825, p < 0.01), cardiac arrest (aOR = 0.936, p = 0.010), undergoing PCI (aOR = 0.826, p < 0.01), using IABP (aOR = 0.835, p < 0.01), and all-cause mortality (aOR = 0.640, p < 0.01), but with higher odds of supraventricular tachycardia (aOR = 1.104, p < 0.01), ventricular tachycardia (aOR = 1.054, p < 0.01), CABG use (aOR = 1.040, p = 0.010), and acute kidney injury (aOR = 1.103, p < 0.01).

Conclusions

Among patients aged 18-80 years admitted to hospital with AMI between 2001 and 2020 in the United States, cannabis use was associated with lower risks of cardiogenic shock, acute ischaemic stroke, cardiac arrest, PCI use, and in-hospital mortality.

Determinants of long-term opioid prescribing in an urban population- a cross sectional study

BACKGROUND

Opioid prescribing has more than doubled in the UK between 1998 and 2016. Potential adverse health implications include dependency, falls and increased health expenditure.

AIM

To describe the predictors of long-term opioid prescribing (LTOP), (≥3 opioid prescriptions in a 90-day period).

DESIGN AND SETTING

A retrospective cross-sectional study in 41 General Practices in South London.

METHOD

Multi-level multivariable logistic regression to investigate the determinants of LTOP.

RESULTS

2,679 (0.8%) out of 320,639 registered patients ≥18 years were identified as having LTOP. Patients Were most likely to have LTOP, if: they had ≥5 long term conditions (LTCs) (adjusted odds ratio [AOR] 36.5, 95% confidence interval [CI] 30.4-43.8) or 2-4 LTCs (AOR 13.8, CI 11.9-16.1), in comparison to no LTCs, ≥75 years compared to 18-24 years (AOR 12.31, CI 7.1-21.5), smokers compared to non-smokers (AOR 2.2, CI 2.0-2.5), females compared to males (AOR 1.9, CI 1.7-2.0) and in the most deprived deprivation quintile (AOR 1.6, CI 1.4-1.8) compared to the least deprived. In a separate model examining individual long-term conditions (LTCs), the strongest associations for LTOP were noted for sickle cell disease (SCD) (AOR 18.4, CI 12.8-26.4), osteoarthritis (AOR 3.0, CI 2.8-3.3), rheumatoid arthritis (AOR 2.8, CI 2.2-3.4), depression (AOR 2.6, CI 2.3-2.8) and multiple sclerosis (OR 2.5, CI 1.4-4.4).

CONCLUSION

LTOP was significantly higher in those aged ≥75 years, with multi-morbidity or specific LTCs: sickle cell disease, osteoarthritis, rheumatoid arthritis, depression, and multiple sclerosis. These characteristics may enable the design of targeted interventions to reduce LTOP.

Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD)

Current equation-based risk stratification algorithms for kidney failure (KF) may have limited applicability in real world settings, where missing information may impede their computation for a large share of patients, hampering one from taking full advantage of the wealth of information collected in electronic health records. To overcome such limitations, we trained and validated the Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD), a novel algorithm predicting end-stage kidney disease (ESKD). PROGRES-CKD is a naïve Bayes classifier predicting ESKD onset within 6 and 24 months in adult, stage 3-to-5 CKD patients. PROGRES-CKD trained on 17,775 CKD patients treated in the Fresenius Medical Care (FMC) NephroCare network. The algorithm was validated in a second independent FMC cohort (n = 6760) and in the German Chronic Kidney Disease (GCKD) study cohort (n = 4058). We contrasted PROGRES-CKD accuracy against the performance of the Kidney Failure Risk Equation (KFRE). Discrimination accuracy in the validation cohorts was excellent for both short-term (stage 4-5 CKD, FMC: AUC = 0.90, 95%CI 0.88-0.91; GCKD: AUC = 0.91, 95% CI 0.86-0.97) and long-term (stage 3-5 CKD, FMC: AUC = 0.85, 95%CI 0.83-0.88; GCKD: AUC = 0.85, 95%CI 0.83-0.88) forecasting horizons. The performance of PROGRES-CKD was non-inferior to KFRE for the 24-month horizon and proved more accurate for the 6-month horizon forecast in both validation cohorts. In the real world setting captured in the FMC validation cohort, PROGRES-CKD was computable for all patients, whereas KFRE could be computed for complete cases only (i.e., 30% and 16% of the cohort in 6- and 24-month horizons). PROGRES-CKD accurately predicts KF onset among CKD patients. Contrary to equation-based scores, PROGRES-CKD extends to patients with incomplete data and allows explicit assessment of prediction robustness in case of missing values. PROGRES-CKD may efficiently assist physicians' prognostic reasoning in real-life applications.

10-Year Renal Function Trajectories in Community-Dwelling Older Adults: Exploring the Risk Factors for Different Patterns

Longitudinal changes of renal function help inform patients’ clinical courses and improve risk stratification. Rare studies address risk factors predicting changes in estimated glomerular filtration rate (eGFR) over time in older adults, particularly of Chinese ethnicity. We identified prospectively enrolled community-dwelling older adults (≥65 years) receiving annual health examinations between 2005 and 2015 with serum creatinine available continuously in a single institute, and used linear regression to derive individual’s annual eGFR changes, followed by multivariate logistic regression analyses to identify features associated with different eGFR change patterns. Among 500 elderly (71.3 ± 4.2 years), their mean annual eGFR changes were 0.84 ± 1.67 mL/min/1.73 m²/year, with 136 (27.2%) and 238 (47.6%) classified as having downward (annual eGFR change <0 mL/min/1.73 m²/year) and upward eGFR (≥1 mL/min/1.73 m²/year) trajectories, respectively. Multivariate logistic regression showed that higher age (odds ratio (OR) 1.08), worse renal function (OR 13.2), and more severe proteinuria (OR 9.86) or hematuria (OR 3.39) were predictive of a declining eGFR while greater waist circumference (OR 1.06) and higher leukocyte counts (OR 1.21) were predictive of an uprising 10-year eGFR. These findings elucidate important features associated with geriatric renal function variations, which are expected to improve their renal care.

A retrospective analysis of kidney function and risk factors by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in elderly Chinese patients

Chronic kidney disease accounts for much of the increased mortality, especially in the elder population. The prevalence of this disease is expected to increase significantly as the society ages. Our aim was to evaluate the kidney function and risk factors of reduced renal function among elderly Chinese patients. This study retrospectively collected clinical data from a total of 1062 inpatients aged 65 years or over. Estimated glomerular filtration rate (eGFR) was calculated with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Renal function and risk factors were also analyzed. For all 1062 subjects, the mean eGFR was 71.0 ± 24.8 mL/min/1.73 m(2), and the incidence rates of reduced renal function, proteinuria, hematuria and leukocyturia were 31.1%, 11.8%, 6.6% and 8.7%, respectively. The eGFR values were 83.4 ± 28.4, 72.2 ± 22.9, 67.8 ± 24.3 and 58.8 ± 29.1 mL/min/1.73 m(2) in the groups of 60-69, 70-79, 80-89 and ≥90 years age group (F = 15.101, p = 0.000), respectively; while the incidences of reduced renal function were 12.8%, 27.0%, 37.8% and 51.7% (χ(2) = 36.143, p = 0.000). Binary logistic regression analysis showed that hyperuricemia (OR = 4.62, p = 0.000), proteinuria (OR = 3.96, p = 0.000), urinary tumor (OR = 2.92, p = 0.015), anemia (OR = 2.45, p = 0.000), stroke (OR = 1.96, p = 0.000), hypertension (OR = 1.83, p = 0.006), renal cyst (OR = 1.64, p = 0.018), female (OR = 1.54, p = 0.015), coronary artery disease (OR = 1.53, p = 0.008) and age (OR = 1.05, p = 0.000) were the risk factors of reduced renal function. In conclusion, eGFR values decreased by age, while the incidence of reduced renal function, proteinuria, hematuria and leukocyturia increased with age. Treatment and control of comorbidities may slow the decline of renal function in elderly patients.